Build Your Own AI Project Worksheet
AI tip (Accuracy = correct ÷ total × 100): Steps: 1 choose a problem → 2 collect examples → 3 label them → 4 check and correct bad labels (clean the data) → 5 split into training and test sets → 6 train → 7 test with new examples → 8 measure accuracy → 9 improve the data and retest. Accuracy = correct ÷ total × 100. Wrong = total − correct. Expected right = accuracy ÷ 100 × total. Keep some examples apart for testing (for example one fifth); the rest are for training.
NameDateTime takenScore ___ / 40
- 1.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
- 2.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 17 right and Model B got 12 right. How many percentage points more accurate is Model A?
- 3.📋 Planning an AI project: which comes first — let it learn patterns or fix it and test again? (a) let it learn patterns (b) fix it and test again
- 4.📦 Rohan collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 5.🎯 Meera’s recycling sorter was tested on 20 new waste photos and got 12 right. What is its accuracy in percent?
- 6.📦 Arjun collected 120 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 7.❌ Tara’s spam spotter was tested on 45 new messages and got 44 right. How many did it get wrong?
- 8.❌ Aarav’s spam spotter was tested on 13 new messages and got 10 right. How many did it get wrong?
- 9.🎯 Saanvi’s handwriting reader was tested on 10 new handwritten letters and got 5 right. What is its accuracy in percent?
- 10.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
- 11.🎯 Meera’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
- 12.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) paper and examples (d) only a big robot
- 13.🎯 Aarav’s bird-song app was tested on 25 new bird songs and got 25 right. What is its accuracy in percent?
- 14.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
- 15.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
- 16.🎯 Rohan’s handwriting reader is 70% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
- 17.📋 Planning an AI project: which comes first — label each example or pick a question to solve? (a) label each example (b) pick a question to solve
- 18.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
- 19.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
- 20.❌ Nisha’s handwriting reader was tested on 20 new handwritten letters and got 19 right. How many did it get wrong?
- 21.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
- 22.📋 Planning an AI project: which comes first — collect fruit photos or test on new photos? (a) collect fruit photos (b) test on new photos
- 23.🎯 Kabir’s recycling sorter was tested on 50 new waste photos and got 44 right. What is its accuracy in percent?
- 24.🎯 Nisha’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
- 25.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos
- 26.🎯 Kabir’s bird-song app is 80% accurate. If it is tested on 10 new bird songs, how many should it get right?
- 27.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
- 28.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 18 right and Model B got 16 right. How many percentage points more accurate is Model A?
- 29.📦 Tara collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 30.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
- 31.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
- 32.🎯 Tara’s leaf identifier was tested on 50 new leaf photos and got 45 right. What is its accuracy in percent?
- 33.🎯 Ananya’s fruit sorter was tested on 50 new fruit photos and got 41 right. What is its accuracy in percent?
- 34.📦 Diya collected 100 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 35.📋 Planning an AI project: which comes first — improve data, retest or correct bad labels? (a) improve data, retest (b) correct bad labels
- 36.🎯 Tara’s fruit sorter is 90% accurate. If it is tested on 90 new fruit photos, how many should it get right?
- 37.❌ Diya’s recycling sorter was tested on 46 new waste photos and got 41 right. How many did it get wrong?
- 38.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 23 right and Model B got 19 right. How many percentage points more accurate is Model A?
- 39.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 16 right and Model B got 15 right. How many percentage points more accurate is Model A?
- 40.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
Answer key
- let it learn patterns
- 25
- let it learn patterns
- 56
- 60
- 96
- 1
- 3
- 50
- train the model
- 80
- paper and examples
- 100
- calculate percent right
- to see if it learned
- 21
- pick a question to solve
- correct ÷ total × 100
- work out the accuracy
- 1
- collect fruit photos
- collect fruit photos
- 88
- 80
- collect fruit photos
- 8
- split train and test
- 8
- 40
- 20
- correct bad labels
- 90
- 82
- 80
- correct bad labels
- 81
- 5
- 16
- 5
- more labelled examples
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students